Michael Trusov

5.3k total citations · 3 hit papers
31 papers, 3.7k citations indexed

About

Michael Trusov is a scholar working on Marketing, Sociology and Political Science and Strategy and Management. According to data from OpenAlex, Michael Trusov has authored 31 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Marketing, 18 papers in Sociology and Political Science and 6 papers in Strategy and Management. Recurrent topics in Michael Trusov's work include Consumer Market Behavior and Pricing (20 papers), Digital Marketing and Social Media (18 papers) and Consumer Behavior in Brand Consumption and Identification (7 papers). Michael Trusov is often cited by papers focused on Consumer Market Behavior and Pricing (20 papers), Digital Marketing and Social Media (18 papers) and Consumer Behavior in Brand Consumption and Identification (7 papers). Michael Trusov collaborates with scholars based in United States, United Kingdom and Türkiye. Michael Trusov's co-authors include Randolph E. Bucklin, Koen Pauwels, Wendy W. Moe, Anand V. Bodapati, Reinhold Decker, Oliver J. Rutz, Zainab Jamal, Liye Ma, Yuchi Zhang and Andrew T. Stephen and has published in prestigious journals such as Journal of Marketing, Management Science and Journal of Marketing Research.

In The Last Decade

Michael Trusov

28 papers receiving 3.4k citations

Hit Papers

Effects of Word-of-Mouth versus Traditional Marketing: Fi... 2009 2026 2014 2020 2009 2011 2010 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Trusov United States 16 2.9k 1.8k 885 632 396 31 3.7k
Wendy W. Moe United States 24 2.5k 0.9× 2.2k 1.2× 787 0.9× 461 0.7× 317 0.8× 43 3.9k
David Godes United States 19 3.6k 1.3× 2.3k 1.3× 1000 1.1× 749 1.2× 675 1.7× 31 4.7k
Yubo Chen United States 19 2.2k 0.8× 1.6k 0.9× 770 0.9× 418 0.7× 358 0.9× 31 3.3k
Wenjing Duan United States 21 3.6k 1.3× 1.8k 1.0× 1.1k 1.2× 685 1.1× 517 1.3× 58 4.7k
Yili Hong United States 27 2.2k 0.8× 1.6k 0.9× 781 0.9× 391 0.6× 462 1.2× 150 3.6k
Khim Yong Goh Singapore 17 1.8k 0.6× 1.3k 0.7× 683 0.8× 289 0.5× 335 0.8× 67 2.6k
David A. Schweidel United States 26 1.7k 0.6× 1.4k 0.8× 386 0.4× 369 0.6× 299 0.8× 70 3.0k
Olivier Toubia United States 26 1.3k 0.4× 1.1k 0.6× 536 0.6× 285 0.5× 317 0.8× 70 2.9k
Randolph E. Bucklin United States 34 2.9k 1.0× 4.2k 2.3× 1.0k 1.1× 861 1.4× 375 0.9× 60 6.3k
Qiang Ye China 25 3.0k 1.0× 1.7k 0.9× 812 0.9× 1.0k 1.6× 233 0.6× 82 3.9k

Countries citing papers authored by Michael Trusov

Since Specialization
Citations

This map shows the geographic impact of Michael Trusov's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Trusov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Trusov more than expected).

Fields of papers citing papers by Michael Trusov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Trusov. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Trusov. The network helps show where Michael Trusov may publish in the future.

Co-authorship network of co-authors of Michael Trusov

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Trusov. A scholar is included among the top collaborators of Michael Trusov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Trusov. Michael Trusov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Trusov, Michael, et al.. (2024). The Impact of Air Pollution on Consumer Spending. Journal of Marketing. 89(3). 78–96. 2 indexed citations
2.
Trusov, Michael, et al.. (2020). Efficient Estimation of Network Games of Incomplete Information: Application to Large Online Social Networks. {forthcoming}. Management Science. 1 indexed citations
3.
Mejia, Jorge, Anandasivam Gopal, & Michael Trusov. (2020). Deal or No Deal? Online Deals, Retailer Heterogeneity, and Brand Evaluations in a Competitive Environment. Information Systems Research. 31(4). 1087–1106. 9 indexed citations
4.
Shi, Savannah Wei & Michael Trusov. (2020). The Path to Click: Are You on It?. Marketing Science. 40(2). 344–365. 15 indexed citations
5.
Kannan, P.K., et al.. (2020). Modeling Dynamics in Crowdfunding. Marketing Science. 39(2). 339–365. 36 indexed citations
6.
Trusov, Michael, et al.. (2018). Swayed by the Numbers: The Consequences of Displaying Product Review Attributes. Journal of Marketing. 82(6). 109–131. 54 indexed citations
7.
Rutz, Oliver J., Garrett P. Sonnier, & Michael Trusov. (2017). A New Method to Aid Copy Testing of Paid Search Text Advertisements. Journal of Marketing Research. 54(6). 885–900. 15 indexed citations
8.
Zhang, Yuchi, Michael Trusov, Andrew T. Stephen, & Zainab Jamal. (2017). Online Shopping and Social Media: Friends or Foes?. Journal of Marketing. 81(6). 24–41. 90 indexed citations
9.
Joshi, Amit & Michael Trusov. (2017). Are You a “Viral Star”? Conceptualizing and Modeling Inter-media Virality. Journal of the Association for Consumer Research. 2(2). 196–215.
10.
Trusov, Michael & Liye Ma. (2016). Digital profiling on limited data: Application in display advertising. 2(4). 340–340.
11.
Mejia, Jorge, Anandasivam Gopal, & Michael Trusov. (2016). Deal or No Deal? Consumer Expectations and Competition in Daily Deals. International Conference on Information Systems. 1 indexed citations
12.
Ordanini, Andrea, Michael Trusov, P.K. Kannan, Yogesh V. Joshi, & Lei Wang. (2015). Co-Investment Network Dynamics in Crowdfunded Ventures. SSRN Electronic Journal. 2 indexed citations
13.
Trusov, Michael, William Rand, & Yogesh V. Joshi. (2013). Improving Prelaunch Diffusion Forecasts: Using Synthetic Networks as Simulated Priors. Journal of Marketing Research. 50(6). 675–690. 32 indexed citations
14.
Rutz, Oliver J. & Michael Trusov. (2011). Zooming In on Paid Search Ads—A Consumer-Level Model Calibrated on Aggregated Data. Marketing Science. 30(5). 789–800. 84 indexed citations
15.
Trusov, Michael, Randolph E. Bucklin, & Koen Pauwels. (2010). Do you Want to Be my “friend”? MONETARY VALUE OF WORD-OF-MOUTH MARKETING IN ONLINE COMMUNITIES. RePEc: Research Papers in Economics. 2(1). 26–33. 3 indexed citations
16.
Trusov, Michael, Anand V. Bodapati, & Randolph E. Bucklin. (2010). Determining Influential Users in Internet Social Networks. Journal of Marketing Research. 47(4). 643–658. 463 indexed citations breakdown →
17.
Trusov, Michael, Randolph E. Bucklin, & Koen Pauwels. (2009). Effects of Word-of-Mouth versus Traditional Marketing: Findings from an Internet Social Networking Site. Journal of Marketing. 73(5). 90–102. 1641 indexed citations breakdown →
18.
Trusov, Michael, Randolph E. Bucklin, & Koen Pauwels. (2008). Effects of Word-of-Mouth versus Traditional Marketing: Findings from an Internet Social Networking Site. SSRN Electronic Journal. 155 indexed citations
19.
Trusov, Michael, Randolph E. Bucklin, & Koen Pauwels. (2007). ESTIMATING THE DYNAMIC EFFECTS OF ONLINE WORD-OF-MOUTH ON MEMBER GROWTH OF A SOCIAL NETWORK SITE. 36 indexed citations
20.
Trusov, Michael, Anand V. Bodapati, & Lee G. Cooper. (2006). Retailer promotion planning: Improving forecast accuracy and interpretability. Journal of Interactive Marketing. 20(3-4). 71–81. 10 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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